Articles | Volume 7, issue 4
https://doi.org/10.5194/esd-7-917-2016
https://doi.org/10.5194/esd-7-917-2016
Research article
 | 
24 Nov 2016
Research article |  | 24 Nov 2016

The impact of structural error on parameter constraint in a climate model

Doug McNeall, Jonny Williams, Ben Booth, Richard Betts, Peter Challenor, Andy Wiltshire, and David Sexton

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by Editor) (05 Sep 2016) by James Annan
AR by Douglas McNeall on behalf of the Authors (07 Nov 2016)  Author's response   Manuscript 
ED: Publish as is (07 Nov 2016) by James Annan
AR by Douglas McNeall on behalf of the Authors (08 Nov 2016)
Download
Short summary
We compare simulated with observed forests to constrain uncertain input parameters of the land surface component of a climate model. We find that the model is unlikely to be able to simulate the Amazon and other major forests simultaneously at any one parameter set, suggesting a bias in the model's representation of the Amazon. We find we cannot constrain parameters individually, but we can rule out large areas of joint parameter space.
Altmetrics
Final-revised paper
Preprint